Understanding the power of deep learning: are we in control?

Exploring the depths of deep learning: Its roles, relationships, and implications

You grab your phone as it dings with a notification. Face recognition instantly unlocks your device, no passcodes needed. You open a message, follow a link, maybe laugh at the latest viral video. All of these actions, things we take for granted, they’re all powered by some form of deep learning.

Deep Learning, despite its seemingly complex nature, is an integral part of our daily lives. From Artificial Intelligence, through Machine Learning, to deep learning, these technologies are more prevalent than we may realise.

To understand how they work and control our world, we use the analogy of Matryoshki, the Russian nested dolls. AI is the largest doll, encompassing Machine Learning. Inside Machine Learning is Deep Learning. They all fit together in that order, like layers of intelligence.

Our brains function in a similar layered fashion, like a deep neural network. They process information in layers, each helping us make sense of our surroundings. This very rough explanation is also the principle deep learning relies on.

Deep learning algorithms collect data, then analyse and determine what’s relevant to make accurate decisions. The more data, the better the decisions. Learning abstract concepts, forming opinions, our brains nurture neural networks that grow from transferring and reinforcing knowledge. Deep learning may not rival our brain’s prowess, but it is becoming increasingly formidable.

Take the example of computer learning. We teach machines to identify objects by labelling numerous images. The computers learn by comparing new images to stored data. When the computer guesses wrong, it adjusts. Over time, it becomes highly skilled at this process. Enter Deep Learning: we stop correcting the computers and let them self-correct.

Deep Learning employs artificial neural networks, each layer focusing on a particular task. With numerous layers, vast amounts of data are processed, spawning decisions in real-time.

Practical applications of deep learning include self-driving cars, remote medical procedures, instant cheque deposits, etc. All powered by efficient, rapidly-improving deep learning technologies which ultimately underpin much of our AI-driven world.

To explore more about who is actually in control with deep learning, visit Fast Data Science. Deep learning might not mimic the limitless capabilities of the human brain and it definitely isn’t controlling us, but it’s learning rapidly, expanding horizons and shaping the world in ways we’re still just beginning to comprehend.